Time Synchronization in Wireless IMU Sensors for Accurate Gait Analysis during Running Show others and affiliations
2023 (English) In: 2023 IEEE International Workshop on Sport, Technology and Research (STAR), IEEE conference proceedings, 2023, p. 126-129Conference paper, Published paper (Refereed)
Abstract [en]
With the advancements in wearable technology, continuous monitoring of physiological and biomechanical parameters has become possible, providing valuable insights into health and fitness. This technology allows for remote patient monitoring, medical support, and even virtual coaching. One area of focus is gait analysis, which can help reduce the risk of running-related injuries. This study aims to develop a small, lightweight, and affordable wireless sensor device for collecting gait data. The device utilizes IMU sensors positioned on the pelvis and foot to measure stability and detect changes due to fatigue during running. Precise time synchronization between the sensors and an Android phone is crucial for accurate data analysis. The study employs Bluetooth LE technology for wireless transmission and proposes a synchronization method to align the data from the asynchronous sensors. The hardware and software components of the sensor device are described, along with the synchronization process. Additionally, a pilot study involving the use of the sensors during treadmill running was performed.
Place, publisher, year, edition, pages IEEE conference proceedings, 2023. p. 126-129
Keywords [en]
IMU sensors, running, time synchronization, wireless sensors, Gait analysis, Patient monitoring, Physiological models, Synchronization, Wearable sensors, Biomechanical parameters, Continuous monitoring, IMU sensor, Monitoring of physiological parameters, Precise time synchronizations, Related injuries, Sensor device, Wireless sensor, Risk assessment
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers URN: urn:nbn:se:miun:diva-50134 DOI: 10.1109/STAR58331.2023.10302652 Scopus ID: 2-s2.0-85179138383 ISBN: 9798350316056 (print) OAI: oai:DiVA.org:miun-50134 DiVA, id: diva2:1821007
Conference 2023 IEEE International Workshop on Sport, Technology and Research, STAR 2023 - Proceedings
2023-12-192023-12-192023-12-19 Bibliographically approved